Google BigQuery: The Definitive Guide Data Warehousing, Analytics, and Machine Learning at Scale

A comprehensive reference guide for using Google BigQuery, improving the reader's ability to use petabyte-scale datasets.

Info autore

Valliappa (Lak) Lakshmanan is a Tech Lead for Big Data and Machine Learning Professional Services on Google Cloud Platform. His mission is to democratize machine learning so that it can be done by anyone anywhere using Google's amazing infrastructure (i.e., without deep knowledge of statistics or programming or ownership of lots of hardware).

Jordan is engineering director for the core BigQuery team. He was one of the founding engineers on BigQuery, and helped grow it to be one of the most successful products in Google's Cloud Platform. He wrote the first book on BigQuery, and has also spoken widely on the subject. Jordan has twenty years of software development experience, ranging from Microsoft Research to Machine Learning startups.

Riassunto

Work with petabyte-scale datasets while building a collaborative, agile workplace in the process. This practical book is the canonical reference to Google BigQuery, the query engine that lets you conduct interactive analysis of large datasets.

Dettagli sul prodotto

• Autori: Lakshmanan Valliappa, Tigani Jordan, Valliappa Lakshmanan, Jordan Tigani
• Editore: O'Reilly
• Contenuto: Libro
• Forma del prodotto: Tascabile
• Data pubblicazione: 29.11.2019
• Categoria: Scienze naturali, medicina, informatica, tecnica > Informatica, EDP > Informatica
• EAN: 9781492044468
• ISBN: 978-1-4920-4446-8
• Dimensioni (della confezione): 17.8 x 23.3 x 2.7 cm
• Peso (della confezione): 892 g
• Categorie: Databases, COMPUTERS / Data Science / Data Analytics, COMPUTERS / Distributed Systems / Cloud Computing, COMPUTERS / Database Administration & Management, COMPUTERS / Data Science / Data Warehousing, COMPUTERS / Business & Productivity Software / General, Databases / Data management, google bigquery data warehouse big data data storage data analytics sql machine learning distributed queries geospatial data query engine